# Looking for Windows ARM tester
**URL:** https://discourse.julialang.org/t/looking-for-windows-arm-tester/133912
**Category:** GPU
**Created:** [November 16, 2025, 2:10pm UTC](https://discourse.julialang.org/t/looking-for-windows-arm-tester/133912 "2025-11-16T14:10:06Z")
**Posts on this page:** 7
**Page:** 1
### Author:  [@GeorgeGkountouras](https://discourse.julialang.org/u/GeorgeGkountouras)
#### Post date: [November 16, 2025, 2:10pm UTC](https://discourse.julialang.org/t/looking-for-windows-arm-tester/133912/1 "2025-11-16T14:10:06Z")
After a successful OpenCL test on my AMD iGPU, I want to see if the same method can be used to target Snapdragon Adreno GPUs. Unfortunately, I don’t have access to one of these devices.
Can someone on Windows ARM help me and @ChetanVardhan run a few julia commands to test this?
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### Author:  [@xgdgsc](https://discourse.julialang.org/u/xgdgsc)
#### Post date: [November 17, 2025, 2:14am UTC](https://discourse.julialang.org/t/looking-for-windows-arm-tester/133912/2 "2025-11-17T02:14:40Z")
I have. Where is the command?
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### Author:  [@GeorgeGkountouras](https://discourse.julialang.org/u/GeorgeGkountouras)
#### Post date: [November 17, 2025, 3:40pm UTC](https://discourse.julialang.org/t/looking-for-windows-arm-tester/133912/3 "2025-11-17T15:40:37Z")
Ok, first install this: [Release v1.2404.1.0 · microsoft/OpenCLOn12 · GitHub](https://github.com/microsoft/OpenCLOn12/releases/tag/v1.2404.1.0)
Then install OpenCL.jl in a new julia environment and try:
```julia-auto
using OpenCL
OpenCL.cl.platforms()
```
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### Author:  [@xgdgsc](https://discourse.julialang.org/u/xgdgsc)
#### Post date: [November 18, 2025, 2:02am UTC](https://discourse.julialang.org/t/looking-for-windows-arm-tester/133912/4 "2025-11-18T02:02:26Z")
Before installing that appx it can also run:
```julia-auto
julia> using OpenCL
julia> OpenCL.cl.platforms()
2-element Vector{OpenCL.cl.Platform}:
OpenCL.Platform('QUALCOMM Snapdragon(TM)' @0x00007ff8c7f50ec0)
OpenCL.Platform('OpenCLOn12' @0x00000270b7ab9cc0)
julia>
```
Is installing of that necessary? Is that the same thing as
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### Author:  [@GeorgeGkountouras](https://discourse.julialang.org/u/GeorgeGkountouras)
#### Post date: [November 18, 2025, 2:17pm UTC](https://discourse.julialang.org/t/looking-for-windows-arm-tester/133912/5 "2025-11-18T14:17:11Z")
It might work without installing it, but I didn’t try that on my machine.
Try `cl.devices(cl.platforms()[2])` and then pick the GPU from the devices shown. Not the CPU fallback. It should say Adreno or something related. Then run the example:
```julia-auto
cl.device!(cl.devices(cl.platforms()[2])[1]) # change this to pick the GPU!
const source = """
__kernel void vadd(__global const float *a,
__global const float *b,
__global float *c) {
int i = get_global_id(0);
c[i] = a[i] + b[i];
}"""
dims = (2,)
a = round.(rand(Float32, dims) * 100)
b = round.(rand(Float32, dims) * 100)
c = similar(a)
d_a = CLArray(a)
d_b = CLArray(b)
d_c = CLArray(c)
prog = cl.Program(; source) |> cl.build!
kern = cl.Kernel(prog, "vadd")
len = prod(dims)
clcall(kern, Tuple{CLPtr{Float32}, CLPtr{Float32}, CLPtr{Float32}},
d_a, d_b, d_c; global_size=(len,))
c = Array(d_c)
a + b ≈ c
```
Also try the same with the official Qualcomm drivers `cl.devices(cl.platforms()[1])[...]`
If that works, there is no need for the fallback.
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### Author:  [@xgdgsc](https://discourse.julialang.org/u/xgdgsc)
#### Post date: [November 19, 2025, 1:50am UTC](https://discourse.julialang.org/t/looking-for-windows-arm-tester/133912/6 "2025-11-19T01:50:27Z")
Both [2] and [1] works and have the same warning. Last line result is true.
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### Author:  [@GeorgeGkountouras](https://discourse.julialang.org/u/GeorgeGkountouras)
#### Post date: [November 19, 2025, 2:19pm UTC](https://discourse.julialang.org/t/looking-for-windows-arm-tester/133912/7 "2025-11-19T14:19:59Z")
That’s fine, it shows the same warning for my iGPU.